Job Summary: Opening for Computer Vision development, focused on video processing, object detection, real-time analysis, and hardware integration, applying ML/DL in edge and server environments. Key Highlights: 1. Expertise in Computer Vision with ML/DL and real-time video processing. 2. Development in Python/C++ with a focus on hardware and edge optimization. 3. Technology research and innovation grounded in solid mathematical foundations. **Location: On-site mandatory — Vitória/ES** Company: Atman **ABOUT THE POSITION** This position involves Computer Vision development, focusing on video processing, object detection and tracking, real-time analysis, and integration with cameras and hardware. Work includes deploying machine learning and deep learning models in production environments, running both on edge devices (embedded systems/cameras) and servers, requiring attention to latency, performance, and efficient resource utilization. **RESPONSIBILITIES** · Research and evaluate solutions and tools to address practical problems; · Develop machine learning applications focused on computer vision; · Evaluate algorithm performance using established metrics from the literature; · Prepare datasets for training and testing neural network-based algorithms; · Integrate developed applications with other software and hardware products—either internally developed or third-party; · Document all work performed. **TECH STACK AND TECHNICAL KNOWLEDGE** · Familiarity with classical computer vision techniques such as optical flow, edge detection, background subtraction, and histogram equalization; · Experience applying machine learning and deep learning to computer vision, with emphasis on convolutional neural networks (CNNs); · Proficiency in Python or C\+\+; · Knowledge of parallel programming for CPU and GPU; · Familiarity with relevant libraries and frameworks, such as: OpenCV, PyTorch, TensorFlow, NVIDIA AI, GStreamer; · Adherence to agile software development best practices and project self-management, including proficiency in: Git, Docker, REST APIs, databases and SQL, DevOps/MLOps; · Experience with embedded systems and algorithm optimization for specialized hardware; · Aptitude for conducting research and proposing technological innovations, keeping abreast of state-of-the-art advancements in computer vision; **MATHEMATICAL FOUNDATION** Applied linear algebra and probability, with the ability to understand, adapt, and optimize existing models. This is not an academic research role, but it demands a strong mathematical foundation for practical application. **REQUIREMENTS** · Completed undergraduate degree in Computer Science, Engineering, Mathematics, Physics, or related fields. · Practical experience in computer vision (academic or professional) · Intermediate to advanced English **PREFERRED QUALIFICATIONS** · Conversational Spanish or Italian (strong advantage) · Experience with edge-deployed solutions · Experience with real-time systems · Performance optimization experience · Prior exposure to hardware, sensors, or industrial cameras **EXPECTED PROFILE** · Analytical mindset · Genuine interest in solving complex problems · Strong capacity for learning · Attention to performance, stability, and production-grade operation · Ability to work effectively with software tightly integrated with hardware **SALARY RANGE** R$ 6\.000 to R$ 12\.000 Classification based on assessed technical level. **EMPLOYMENT TYPE AND BENEFITS** Employment Type: CLT (Consolidated Labor Laws) Working Hours: Monday to Friday, 8:00 AM to 5:00 PM · Meal allowance · Food allowance · Unimed health insurance plan · Dental insurance plan · Life insurance **APPLICATION INSTRUCTIONS** Interested candidates must send their resume to vagas@atmansystems.com, specifying the area of interest in the email subject line. Job Type: Full-time, Permanent CLT Compensation: R$6\.000,00 \- R$12\.000,00 per month Benefits: * Health insurance * Dental insurance * Life insurance * Meal allowance * Food allowance * Transportation allowance Work Location: On-site
João Silva
Indeed · HR
João Silva
Indeed · HR
